TY - GEN
T1 - A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging
AU - Tivive, Fok Hing Chi
AU - Bouzerdoum, Abdesselam
PY - 2013/10/18
Y1 - 2013/10/18
N2 - In this paper, we present a compressed sensing method for complex-valued signals based on multiple measurement vector compressed sensing model. The proposed method constrains the real and imaginary parts of the recovered signal to have the same sparsity profile. It is applied to a compressed sensing through-the-wall radar imaging problem. Experiments based on synthetic data shows that the proposed method achieves lower reconstruction error than the existing CS method.
AB - In this paper, we present a compressed sensing method for complex-valued signals based on multiple measurement vector compressed sensing model. The proposed method constrains the real and imaginary parts of the recovered signal to have the same sparsity profile. It is applied to a compressed sensing through-the-wall radar imaging problem. Experiments based on synthetic data shows that the proposed method achieves lower reconstruction error than the existing CS method.
KW - Complex-valued
KW - Compressive sensing
KW - Multiple measurement vector
UR - https://www.scopus.com/pages/publications/84890470671
U2 - 10.1109/ICASSP.2013.6638033
DO - 10.1109/ICASSP.2013.6638033
M3 - Conference contribution
AN - SCOPUS:84890470671
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2144
EP - 2148
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -